WHAT YOU'VE DONE: Bachelor's degree, or higher education level, or its foreign equivalent, in Computer Science, Computer Information Sciences, and/or related field Total Work Experience: 7+ years (software development), 5+ years of strategic leadership experience Expertise in AI/ML systems: LLM integration, RAG pipelines, vector databases, and prompting strategies Experience with LLM evaluation frameworks (e.g., RAGAS, LangSmith evaluations, custom benchmarks) Hands-on experience with agent frameworks, workflow orchestration, and LLM runtime systems (e.g., LangGraph, Agent Development Kit, Agent Framework, or similar), including tool use, memory, evaluation, and governance SPECIALIZED KNOWLEDGE, SKILLS, AND/OR ABILITIES: Expert of scalable, resilient, modern, cloud-native microservice development with Java, NET, Python, or Typescript Excels in the ability to lead, teach, and guide modern software-development practices across Product Development, operating independently with guidance Experience building monitoring, alerting, and observability for maintaining high customer SLAs for SaaS delivered products Experience in regulated industries (financial services, insurance, healthcare) preferred Experience with CQRS, event-driven architecture, and Kafka Experience with Terraform/Ansible or other IaC platforms Experience with cost controls and usage attribution of model execution Knowledge of data security, compliance, and responsible AI principles Experience in Cloud platforms and cloud-native architectures, including Serverless Proven experience building multi-agent systems with planning, tool calling, and state management Expert with CI/CD to deliver software enhancements to customers with full automation * Expert in distributed software patterns, such as DDD, microservices, serverless, and event-driven architecture WHAT ADDITIONAL INFORMATION YOU MAY WANT TO KNOW: Travel: 0-10% Work Authorization: Legally authorized to work in the country of job location. You will design and implement scalable, secure, and high-performing systems that leverage large language models (LLMs), retrieval-augmented generation (RAG), and AI-driven services.